#70: Pythonic cover songs at Loudr

#70: Pythonic cover songs at Loudr

Some of the best songs are cover songs of popular music. If you're a musician who wants to create a cover song and actually sell it, you'll be diving deep into complex agreements and legal agreements with record labels. Sounds like no fun to me. But this is where Python comes to the rescue! The guys and girls over at Loudr are using Python to create a service for creating, selling, and distributing cover songs. This week you'll meet one of the co-founders, Josh Whelchel. He's here to tell us all the cool ways Python makes this possible, including a touch of machine learning!

Episoder(543)

#376: Pydantic v2 - The Plan

#376: Pydantic v2 - The Plan

Pydantic has become a core building block for many Python projects. After 5 years, it's time for a remake. With version 2, the plan is to rebuild the internals (with benchmarks already showing a 17x p...

4 Aug 20221h 18min

#375: Python Language Summit 2022

#375: Python Language Summit 2022

Every year, the Python core developers and a few other key players in the Python ecosystem meet to discuss the pressing issues and important advancements at an event called the Python Language Summit....

30 Jul 202258min

#374: PSF Survey in Review

#374: PSF Survey in Review

Every year, the PSF and JetBrains team up to do a Python community survey. The most recent one was Fall of 2021. For this episode, I've gathered a great group of Python enthusiasts to discuss the resu...

20 Jul 20221h 2min

#373: Reinventing Azure's Python CLI

#373: Reinventing Azure's Python CLI

Deploying and managing your application after you create it can be a big challenge. Cloud platforms such as Azure have literally hundreds of services. Which ones should you choose? How do you link the...

12 Jul 20221h 6min

#372: Applied mathematics with Python

#372: Applied mathematics with Python

Often when we learn about or work with Math, it's done so in a very detached style. You might learn the rules and techniques for differentiation, for example. But how often do you get to apply them to...

8 Jul 20221h 15min

#371: pipx - Installable, Isolated Python Applications

#371: pipx - Installable, Isolated Python Applications

I'm sure you're familiar with package managers for your OS even if you don't use them. On macOS we have Homebrew, Chocolatey on Windows, and apt, yum, and others on Linux. But if you want to install P...

30 Jun 202258min

#370: OpenBB: Python's Open-source Investment Platform

#370: OpenBB: Python's Open-source Investment Platform

You may have heard of the Bloomberg terminal. It's expensive software that can monitor and analyze real-time financial market data and place trades on the electronic trading platform. But have you hea...

22 Jun 202254min

#369: Getting Lazy with Python Imports and PEP 690

#369: Getting Lazy with Python Imports and PEP 690

Python is undergoing a performance renaissance. We already have Python 3.11 20-40% faster than even Python 3.10. On this episode, we'll dive into a new proposal to make Python even more efficient usin...

16 Jun 202256min

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